Abstract The Land Transformation Model (LTM) is a Land Use Land Cover Change (LUCC)
model which was originally developed to simulate local scale LUCC patterns. The model …

Improving High-Resolution Weather Forecasts Using the Weather Research and Forecasting
(WRF) Model with an Updated Kain–Fritsch Scheme in: Monthly Weather Review Volume 144 …

This paper compares one global parametric land use change model, the artificial neural
network–based Land Transformation Model, with two local non-parametric models: a …

This study introduces a novel framework for land change simulation that combines the
traditional Land Transformation Model (LTM) with data clustering tools for the purposes of …

The Land Transformation Model (LTM) is hierarchically coupled with meso-scale drivers to
project urban growth across the conterminous USA. Quantity of urban growth at county and …

Assessing errors and uncertainties in land-use change (LUCH) models is important because
these are an unavoidable part of geospatial data and spatially explicit models. Urban …

The use of cellular automata (CA) has for some time been considered among the most
appropriate approaches for modeling land‐use changes. Each cell in a traditional CA model …

Population growth and climate change are likely to impact upon food and water availability
over the coming decades. In this study we use an ensemble of climate simulations to project …

Although the fidelity of computational-fluid-dynamics (CFD) models for the study of flow in
plant canopies has significantly increased over the past decades, the inability to exactly …

Generic land surface models are generally driven by large-scale data sets to describe the
climate, the soil properties, the vegetation dynamic and the cropland management …